Senior Data Engineer

Job Title: Senior Data Engineer with Informatica, SQL, Analytics exp
Location preference: Minnetonka, MN - Hybrid 3 days in a week, Locals or nearby locations are preferred
Duration: 6 Months with extension
Employment type: W2
Visa: USC/GC Only


Required Skills:
Data Engineering
ETL-Informatica
SQL/Oracle PL-SQL
Informatica PowerCenter
Data Modeling
Data Analysis
Snowflake or Azure or Kafka – Preferred
Healthcare Insurance

Key Accountabilities:
Designing and implementing scalable data pipelines and storage solutions to support enterprise analytics.
Ensuring data quality, integrity, and security across all stages of the data lifecycle.
Collaborating with stakeholders to define data requirements and translate them into technical specifications.
Monitoring and optimizing performance of data systems and ETL processes.
Supporting the deployment and maintenance of data infrastructure in cloud environments.
Developing and maintaining complex SQL scripts and stored procedures for data transformation and reporting.
Leveraging Informatica IDMC for cloud-native data integration, data quality, and governance workflows.

In addition to engineering responsibilities, the Data Generalist component of this role includes:
Performing exploratory data analysis and generating actionable insights.
Creating dashboards and visualizations using tools like Power BI, Tableau, or Excel.
Collaborating with cross-functional teams to align data efforts with business goals.
Automating data workflows using scripting languages such as Python or R.
Supporting business intelligence initiatives and translating data into strategic recommendations.
Documenting data processes and contributing to data governance standards.
Applying AI and machine learning techniques to enhance predictive analytics, automate decision-making, and uncover deeper insights from complex datasets.
Utilizing preferred AI tools and platforms such as TensorFlow, Azure Machine Learning, scikit-learn, and PyTorch to build and deploy models that support enterprise analytics and innovation.